Vehicle-mounted delay-tolerant network data forwarding method based on semi-naive bayesian classifier
A vehicle-mounted delay-tolerant network and Bayesian classifier technology, applied in specific environment-based services, communication between vehicles and infrastructure, vehicle components, etc., can solve the problem of low message delivery rate, large network resource consumption, etc. problems, achieve the effect of reducing network overhead, broad application prospects, and improving message delivery rate
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[0042] Such as figure 1 As shown, the present invention discloses a method for forwarding data in a vehicle-mounted delay-tolerant network based on a semi-naive Bayesian classifier, comprising the following steps:
[0043] S1. Make each vehicle-mounted delay-tolerant network node maintain a data packet forwarding history table.
[0044] The attributes in the data message forwarding history table include message identifier, destination node, area code, time code, contact interval code and node classification.
[0045] Packet identifier (ID) is the unique identifier of any data packet. The destination node (Des) is the identifier of the destination node of the data message. Area Code (x 1 ) is the code for the geographical area, that is, the geographical area of the entire network is divided into different grids with a size of 10m×10m, and a unique area code is assigned to each grid, which is used to record the information of the node when the data message is forwarded. lo...
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